Udemy – 200+ Days: The Complete Pro AIMLDL & Data Science Bootcamp™ 2025-7

Udemy – 200+ Days: The Complete Pro AIMLDL & Data Science Bootcamp™ 2025-7 Downloadly IRSpace

Aug 19, 2025 - 16:10

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Udemy – 200+ Days: The Complete Pro AIMLDL & Data Science Bootcamp™ 2025-7

200+ Days: The Complete Pro AIMLDL & Data Science Bootcamp™ is an English language training course from the Udemy website that does not follow the usual methods and teaches English in a principled and correct way. Mental translation is one of the reasons students fail to speak. The structure of English is different from that of mother tongue, and mental translation causes words and sentences to be mispronounced and to have structural and grammatical problems. If you can master the structure of the English language in your mind and prevent the plague of mental translation, you will be able to speak fluently and fluently. It is very important to think or do the English thought process with the structure of the English language, and if you do not master it, you will never be able to speak English properly.

Mental translation makes what you say seem a bit artificial and unnatural to a native English speaker, and often even incomprehensible. This course will provide you with a series of techniques and exercises that will shape the English mental structure in your brain over time. During the course, the instructor will always be present next to the video and you will be able to clearly see how the different words are pronounced. Each lesson focuses on a specific topic and idea, and you will be given different exercises in between each lesson. Hard work and perseverance alone can not make you an English speaker, but you must also use the right methods and techniques.

What you will learn in 200+ Days: The Complete Pro AIMLDL & Data Science Bootcamp™:

Understand the fundamentals of AI, machine learning, data science, deep learning, and becoming a professional.
Gain in-depth knowledge of supervised, unsupervised, and reinforcement learning techniques.
Learn how to clean, explore, and visualize data using Python and powerful libraries like Pandas and Matplotlib.
Master statistical analysis, hypothesis testing, and inferential statistics for data-driven decision making.
Build a strong foundation in linear and logistic regression, decision trees, and random forests.
Learn to evaluate model accuracy using metrics like precision, recall, F1 score, and ROC-AUC.
Perform hyperparameter tuning and model optimization using network search and random search.
Understand dimensionality reduction techniques including PCA and t-SNE.
Implement real-world clustering algorithms like K-Means and DBSCAN.
Experience support vector machines (SVM) and kernel functions.
Apply K-nearest neighbors and gradient boosting models to classification and regression tasks. Understand the full data science cycle from problem definition to business impact.
Learn feature engineering and end-to-end feature selection techniques for model improvement.
Learn how to manage imbalanced datasets and apply advanced sampling strategies such as SMOTE.
Gain hands-on experience with model deployment using Flask, Docker, and cloud services.
Develop a working knowledge of MLOps tools and CI/CD workflows in machine learning projects.
Analyze case studies in healthcare, finance, retail, marketing, and energy.
Understand the ethical implications and responsibilities of AI and data-driven decision-making.
Master productive AI tools including ChatGPT, Gemini, Claude, and open source models.
And …

Course specifications

Publisher: Udemy
Instructors: Dr. Noble Arya Full-Stack Data Scientist, AI/ML/DL Researcher
Language: English
Level: Introductory to Advanced
Number of Lessons: 232
Duration: 81 hours and 49 minutes